Senior Data Scientist – Campaign Measurement

Web Spiders seeks a smart, curious, AI-savvy Senior Data Scientist to join our cutting-edge Data Science team. We hire the best and brightest and give them the opportunity to work with industry-leading technologies.

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The project is for a U.S.-based consumer purchase insights company that leverages real-time transaction data and AI-driven analytics to help brands, marketers, and financial institutions understand consumer spending behavior and drive growth.

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The Data Science team currently builds statistical and machine learning models that help clean, normalize, and transform credit card transaction data from semi-structured into structured form. Then, we build panels, cohorts, balancing, and calibration methodologies to make the data easier to use and power our ad-tech/mar-tech products at scale. For example, we help customers precisely and effectively measure marketing campaign effects, identify consumer spend behavior insights, and inform strategy against competition.

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In this role, you will be working jointly with data scientists and engineers in the US on improving the usability of data. This includes a broad range of problems from paneling, to normalizing and balancing, to predicting future spend behavior, and doing all of this in a cost-effective manner. You will also be working on applying these methodologies to specific customer problems, such as identifying consumer category trends.

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Experience Level: 4+ Years

Location: Kolkata (Rajarhat–Newtown)

Mode of Working: Work from Office

Required Qualifications

• Advanced degree in Statistics/Operations Research/Mathematics/Computer Science/Economics or other fields that provide advanced training in statistical modeling, and 4+ years of industry experience.
• Deep knowledge of the fundamentals of statistical reasoning, Machine Learning, and data modeling. Proven ability to conceptualize business problems and craft sound and practical modeling and analytical solutions.
• Strong software engineering and data engineering experience. Solid knowledge and experience with Python and SQL. Experience writing production quality code.
• Experience building data pipelines on cloud platforms for efficient data processing, using technologies such as Snowflake, Amazon Redshift, and data lakes such as Amazon S3.
• Entrepreneurial, highly self-motivated, collaborative, keen attention to detail, willingness and capable learn quickly, and ability to effectively prioritize and execute tasks in a demanding environment, ability to drive projects independently.
• Great communication skills (verbal, written and presentation)

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Duties and Responsibilities

• Engage in R&D to research, evaluate, and implement in Client´s products new statistical modeling methodologies including but not limited to areas of data balancing and projection, cross-sectional analysis, predictive modeling.
• Optimize algorithms to run in a cost-effective manner at scale.
• Communicate the methodologies and the results to the management, clients, and other non-
  technical stakeholders.

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Preferred Qualifications

• Background in Retail industry and experience working with retail purchase data.

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Benefits

• Competitive salary and performance-based bonuses
  
• Exciting and challenging projects at the forefront of technology.
  
• Process Oriented Appraisals
  
• Professional development opportunities and training.
  
• Rewarding Buddy-Referral Program
  
• Collaborative and inclusive work environment.
  
• Complimentary Breakfast, Evening Snacks & Subsidise Lunch at Office.

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Interview Process

• Application review
  
• 5–10 minute initial screening call with the TA team
  
• ‍Practical test conducted in the presence of a panel member
  
• Technical interviews {Domain specific}
  
• ‍Role match & offer

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